BROWSE
Detail
Journal Article
Recursive Estimation of Motion and a Scene Model with a Two-Camera System of Divergent View
Cited 16 time in 
Download 4 time
Share 
Download 4 time
Share
- Authors
- Jae-Hean Kim, Myung Jin Chung, Byung Tae Choi
- Issue Date
- 2010-06
- Citation
- Pattern Recognition, v.43, no.6, pp.2265-2280
- ISSN
- 0031-3203
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Project Code
- 09MS5900, Software Development for Digital Creature, Choi Byoung Tae
- Abstract
- This paper deals with recursive reconstruction of a scene model from unknown motion of a two-camera system capturing the images of the scene. Single camera systems with a relatively small field of view have limited accuracy because of the inherent confusion between translation and rotation. Estimation results from the stereo camera systems are also compromised due to this confusion if the systems require the fields of view to intersect for stereo correspondence. The cameras constituting the two-camera system considered in this paper are arranged so that there is a small intersection of the fields of view. This configuration of divergent view improves the accuracy of the structure and motion estimation because the ambiguity mentioned above decreases due to a large field of view. In this paper, a recursive algorithm is proposed for fast scene model reconstruction using a two-camera system of divergent view. Using inversely inferred stereo correspondences in the intersection of the fields of view is also proposed to remove degeneracy of scale factor determination and to acquire more accurate results from the information redundancy. The results of the experiments with long term real image sequences are presented to demonstrate the feasibility of the proposed system. © 2010 Elsevier Ltd. All rights reserved.
- KSP Keywords
- Camera system, Field of view(FOV), Image sequence, Information redundancy, Motion estimation(ME), Recursive Algorithm, Recursive reconstruction, Small field of view, Stereo correspondence, Structure and motion, large field of view